Spring 2025
COMPSCI 294 279 - LEC 279
Special Topics
Data Science for Social Change
Emma Pierson
Class #:33738
Units: 3
Instruction Mode:
In-Person Instruction
Time Conflict Enrollment Allowed
Offered through
Electrical Engineering and Computer Sciences
Current Enrollment
Total Open Seats:
7
Enrolled: 23
Waitlisted: 0
Capacity: 30
Waitlist Max: 20
Open Reserved Seats:
19 reserved for Computer Science and Electrical Engineering and Computer Sciences Graduate Students
Hours & Workload
1 to 3 hours of instructor presentation of course materials per week, and 2 to 11 hours of outside work hours per week.
Course Catalog Description
Topics will vary from semester to semester. See Computer Science Division announcements.
Class Description
This course will teach you how to 1) conduct socially impactful data science research and 2) increase the impact of your work by writing about technical findings for a non-technical audience which includes policymakers and the public. We will both discuss and debate socially impactful technical papers, and read writing which communicates technical findings effectively for a non-technical audience. The class will cover three application areas: social inequality, algorithmic fairness, and health. The class will feature numerous guest speakers from academia, journalism, and industry. The main course assignments will be reading, presenting, and analyzing technical papers and popular press articles, and writing a piece on a technical topic for a mass audience.
Rules & Requirements
Requisites
- Students not in the Master of Engineering Program
Repeat Rules
Reserved Seats
Reserved Seating For This Term
Current Enrollment
Open Reserved Seats:
19 reserved for Computer Science and Electrical Engineering and Computer Sciences Graduate Students
Textbooks & Materials
See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.
Guide to Open, Free, & Affordable Course Materials
Associated Sections
None